Triple

T19710128
Position Surface form Disambiguated ID Type / Status
Subject Edadil Kadın E473319 entity
Predicate title P38 FINISHED
Object Kadın NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kadın | Statement: [Edadil Kadın, title, Kadın]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kadın
Context triple: [Edadil Kadın, title, Kadın]
  • A. Kadın chosen
    Kadın is an Ottoman imperial title historically given to the official consorts of the sultans, ranking below the valide sultan but above most other women in the harem hierarchy.
  • B. Кизляр
    Кизляр — город на северо-востоке Ставропольского края России, расположенный в низовьях Терека и известный как центр виноделия и коньячного производства.
  • C. Kinana
    Kinana is an ancient Arab tribal confederation regarded as one of the major ancestral tribes of the Quraysh and other prominent groups in the Arabian Peninsula.
  • D. Wowan
    Wowan is a small rural town in Central Queensland, Australia, known historically for its dairy and cattle farming.
  • E. Dürrinev Kadın
    Dürrinev Kadın was a consort of Ottoman Sultan Abdülaziz and held the title of BaşKadin (chief consort) in the 19th-century Ottoman imperial harem.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64407ed208190944ae43b5e44bbdc completed April 20, 2026, 3:19 p.m.
Created at: April 10, 2026, 1:46 p.m.